ANN based modelling and correction in dynamic temperature measurements

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3070, Issue , 2004, Pages 1124-1129

  Jackowska Strumiłło, Lidia ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; DIFFERENTIAL EQUATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS;

HEAT FLUX INTENSITY; MULTILAYER TEMPERATURE SENSORS; NON-LINEAR DYNAMICS;

SENSORS;

EID: 9644291569     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24844-6_176     Document Type: Conference Paper

References (6)

1. nd ed. Prentice Hall, 1999
2. Jackowska-Strumillo L., Sankowski D., McGhee J., Henderson I.A.: Modelling and MBS experimentation for temperature sensors. Meas., Vol.20, No.1, pp.49-60, 1997.
3. Jackowska-Strumiłło L.: Computerised System for RTD Dynamics Identification. Int. IMEKO Seminar on Low Temperature Thermometry and Dynamic Temperature Measurement. Wrocław, (1997), pp. D-(25-30).
4. Jackowska-Strumiłło L.: Correction of non-linear dynamic properties of temperature sensors by the use of ANN, in L.Rutkowski, J.Kacprzyk (Ed.): Advances in Soft Computing - Neural Networks and Soft Computing, Physica-Verlag, Heidelberg 2003, pp. 837-842.
5. Jackowska-Strumiłło L.: Application of artificial neural networks for modelling of RTD dynamics. Third Int. Symp. on Methods and Models in Automation and Robotics. MMAR'96. Miêdzyzdroje, 1996, Proc., Vol. 3, pp.1185-1188.
6. Michalski L., Eckersdorf K., McGhee J.: Temperature Measurement. John Wiley and Sons Ltd., Chichester, 1991.